Average-width optimality for confidence bands in simple linear regression

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


The problem of constructing optimal confidence bands for a simple linear regression over the whole real line is considered. Optimality is defined as minimization of the average width of the bands weighted by a normalized function. This weight function is presented as an indicator of experimental interest in the varying width of the band. A comparison between the commonly seen hyperbolic bands and segmented-line bands is presented.

Original languageEnglish (US)
Pages (from-to)692-697
Number of pages6
JournalJournal of the American Statistical Association
Issue number391
StatePublished - Sep 1985


  • Constrained minimization
  • Prior weight functions
  • Simultaneous confidence intervals

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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